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With over 560 citations reported on Google Scholar by April 2018, a publication by Juslin and Gabrielsson (1996) presented evidence supporting performers’ abilities to communicate, with high accuracy, their intended emotional expressions in music to listeners. Though there have been related studies published on this topic, there has yet to be a direct replication of this paper. A replication is warranted given the paper’s influence in the field and the implications of its results. The present experiment joins the recent replication effort by producing a five-lab replication using the original methodology. Expressive performances of seven emotions (e.g. happy, sad, angry, etc.) by professional musicians were recorded using the same three melodies from the original study. Participants (N?=?319) were presented with recordings and rated how well each emotion matched the emotional quality using a 0–10 scale. The same instruments from the original study (i.e. violin, voice, and flute) were used, with the addition of piano. In an effort to increase the accessibility of the experiment and allow for a more ecologically-valid environment, the recordings were presented using an internet-based survey platform. As an extension to the original study, this experiment investigated how musicality, emotional intelligence, and emotional contagion might explain individual differences in the decoding process. Results found overall high decoding accuracy (57%) when using emotion ratings aggregated for the sample of participants, similar to the method of analysis from the original study. However, when decoding accuracy was scored for each participant individually the average accuracy was much lower (31%). Unlike in the original study, the voice was found to be the most expressive instrument. Generalised Linear Mixed Effects Regression modelling revealed that musical training and emotional engagement with music positively influences emotion decoding accuracy.  相似文献   
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Background: Research on complicated grief (CG) symptoms following job loss is surprisingly rare. Involuntary job loss can turn someone’s world upside down and can result in loss of identity, social contacts, and self-worth. In this study, we drew on the literature on major life events in conceptualizing involuntary job loss as a significant and potentially devastating life event.

Objectives: The aim of this study was to develop and evaluate an instrument that measures job loss-related CG symptoms, the Job Loss Grief Scale (JLGS). The purpose of the JLGS is to foster systematic research on CG symptoms following job loss.

Design: A cross-sectional study

Methods: We recruited Dutch workers who had lost their job, 130 men and 158 women with an average age of 49.6 years. To examine the psychometric properties of the JLGS and its associations with other concepts we conducted correlational and confirmatory factor analyses.

Results: CFA revealed that the JLGS was a one-dimensional instrument, and that CG symptoms were distinguishable from depression and anxiety symptoms.

Conclusion: The JLGS is a reliable and valid instrument to measure job loss-related CG symptoms. The availability of the JLGS could stimulate systematic research on the antecedents and consequences of involuntary job loss.  相似文献   

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Previous researches have shown that there was a strong relationship between fine motor skills and arithmetical abilities in children. However, the majority of previous studies examined only the correlations between fine motor skills and arithmetical abilities, but did not attempt to determine their causal relationship. Thus, the aim of the present study was to examine the effect of motor skills training on arithmetical abilities among 80 first graders. One of the results showed that the intervention group, which received training in fine motor skills for 10 min, showed greater improvements in performance on an arithmetic task and a pegboard than did the active control group, which read their favourite book for 10 min. These findings have suggested that training in this study is an appropriate program for improving fine motor skills and further fine motor skills had a significant influence on arithmetical abilities in children, with a medium effect size. The present study has, for the first time, provided evidence that there will be a causal relationship between these factors.  相似文献   
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Background/ObjectiveGiven the negative consequences of weight bias, including internalized weight stigma, on health outcomes, two instruments—the Weight Self-Stigma Questionnaire (WSSQ) and Weight Bias Internalization Scale (WBIS)—have been developed. However, their psychometric properties are yet to be tested for Asian pediatric populations. Method:Participants aged 8 to 12 years (N = 287; 153 boys) completed the WSSQ and the WBIS, and they were classified into either a group with overweight or a group without overweight based on self-reported weight and height. Results:Both WSSQ and WBIS had their factor structures supported by confirmatory factor analyses (CFAs). The measurement invariance of two-factor structure was further supported for WSSQ across gender and weight status. The measurement invariance of single-factor structure was supported for WBIS across gender but not across weight status. Conclusions:WSSQ and WBIS were both valid to assess the internalization of weight bias. However, the two instruments demonstrated different properties and should be applied in different situations.  相似文献   
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When multisource feedback instruments, for example, 360-degree feedback tools, are validated, multilevel structural equation models are the method of choice to quantify the amount of reliability as well as convergent and discriminant validity. A non-standard multilevel structural equation model that incorporates self-ratings (level-2 variables) and others’ ratings from different additional perspectives (level-1 variables), for example, peers and subordinates, has recently been presented. In a Monte Carlo simulation study, we determine the minimal required sample sizes for this model. Model parameters are accurately estimated even with the smallest simulated sample size of 100 self-ratings and two ratings of peers and of subordinates. The precise estimation of standard errors necessitates sample sizes of 400 self-ratings or at least four ratings of peers and subordinates. However, if sample sizes are smaller, mainly standard errors concerning common method factors are biased. Interestingly, there are trade-off effects between the sample sizes of self-ratings and others’ ratings in their effect on estimation bias. The degree of convergent and discriminant validity has no effect on the accuracy of model estimates. The χ2 test statistic does not follow the expected distribution. Therefore, we suggest using a corrected level-specific standardized root mean square residual to analyse model fit and conclude with further recommendations for applied organizational research.  相似文献   
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